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Shane Steinert-Threlkeld
Shane Steinert-Threlkeld
Assistant Professor of Linguistics, University of Washington
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
Learnability and Semantic Universals
S Steinert-Threlkeld, J Szymanik
Semantics & Pragmatics, 2019
692019
Ease of Learning Explains Semantic Universals
S Steinert-Threlkeld, J Szymanik
Cognition, 2020
432020
Towards the Emergence of Non-trivial Compositionality
S Steinert-Threlkeld
Philosophy of Science, 2019
322019
Compositional Signaling in a Complex World
S Steinert-Threlkeld
Journal of Logic, Language and Information 25 (3), 379-397, 2016
322016
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
C Li, L Shengshuo, LZ Liu, X Wu, X Zhou, S Steinert-Threlkeld
BlackboxNLP, 2020
312020
Quantifiers in natural language optimize the simplicity/informativeness trade-off
S Steinert-Threlkeld
22nd Amsterdam Colloquium, 2019
302019
Complexity/informativeness trade-off in the domain of indefinite pronouns
M Denić, S Steinert-Threlkeld, J Szymanik
Semantics and Linguistic Theory (SALT), 2020
282020
Semantic Expressivism for Epistemic Modals
P Hawke, S Steinert-Threlkeld
Linguistics and Philosophy, 2020
262020
Informational dynamics of epistemic possibility modals
P Hawke, S Steinert-Threlkeld
Synthese, 1-34, 2016
262016
Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals
S Steinert-Threlkeld
Entropy 23 (10), 1335, 2021
242021
Language Models Use Monotonicity to Assess NPI Licensing
J Jumelet, M Denić, J Szymanik, D Hupkes, S Steinert-Threlkeld
Findings of ACL, 2021
242021
An Explanation of the Veridical Uniformity Universal
S Steinert-Threlkeld
Journal of Semantics, 2019
232019
Iterating semantic automata
S Steinert-Threlkeld, TF Icard
Linguistics and Philosophy 36, 151-173, 2013
212013
Indefinite Pronouns Optimize the Simplicity/Informativeness Trade‐Off
M Denić, S Steinert‐Threlkeld, J Szymanik
Cognitive Science 46 (5), e13142, 2022
182022
Monotone Quantifiers Emerge via Iterated Learning
F Carcassi, S Steinert-Threlkeld, J Szymanik
Cognitive Science, 2021
132021
Quantifiers satisfying semantic universals are simpler
I van de Pol, P Lodder, L van Maanen, S Steinert-Threlkeld, J Szymanik
CogSci 2021, 2021
132021
Alternative Representations in Formal Semantics: A case study of quantifiers
S Steinert-Threlkeld, GJ Munneke, J Szymanik
Proceedings of the 20th Amsterdam Colloquium, 368-379, 2015
122015
A Masked Segmental Language Model for Unsupervised Natural Language Segmentation
CM Downey, F Xia, GA Levow, S Steinert-Threlkeld
arXiv preprint arXiv:2104.07829, 2021
112021
Complexity and learnability in the explanation of semantic universals of quantifiers
I van de Pol, S Steinert-Threlkeld, J Szymanik
Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 2019
112019
The emergence of monotone quantifiers via iterated learning
F Carcassi, S Steinert-Threlkeld, J Szymanik
Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 2019
102019
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Articles 1–20